Samsung Galaxy S24 Ultra
Geekbench AI Score
500
Single Precision Score
22440
Half Precision Score
51151
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 21 2025 02:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928U |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
314
58.4 IPS |
|
|
Image Classification (HP)
|
100% |
18164
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
41988
7.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
394
6.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
10933
177.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
31279
508.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
527
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
100510
117.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
398623
466.6 IPS |
|
|
Object Detection (SP)
|
100% |
297
23.5 IPS |
|
|
Object Detection (HP)
|
100% |
16333
1.30 KIPS |
|
|
Object Detection (Q)
|
86% |
20260
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
719
8.54 IPS |
|
|
Face Detection (HP)
|
100% |
34468
409.5 IPS |
|
|
Face Detection (Q)
|
97% |
123628
1.47 KIPS |
|
|
Depth Estimation (SP)
|
100% |
647
4.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
63951
492.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
117760
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
1022
1.31 IPS |
|
|
Style Transfer (HP)
|
98% |
85575
110.3 IPS |
|
|
Style Transfer (Q)
|
98% |
422999
545.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
350
12.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45969
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103539
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
444
593.0 IPS |
|
|
Text Classification (HP)
|
100% |
3094
4.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6918
9.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3703
63.8 IPS |
|
|
Machine Translation (Q)
|
55% |
2621
68.7 IPS |
